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The Google for Startups Cloud Program provides Google Cloud and AI compute credits to early-stage companies, with a dedicated AI-first track offering up to 350,000 US dollars in credits to startups building AI-first products, substantially above the up to 200,000 dollars available through the general Scale tier.
The programme is a rolling, always-open offering rather than a deadline-driven competition, with applications made through the Google Cloud startups website and decisions returned relatively quickly, which makes it one of the more accessible sources of substantial compute for an AI company without a research affiliation.
Eligibility for the AI-first track centres on company age and funding stage rather than on technical merit: the commonly published criteria require the company to have been founded within the last five years and to be at pre-seed or seed stage within five years, or to have raised a Series A within the preceding twelve months, together with an AI-first product.
The practical consequence is that this is a window that closes, and an AI company more than a year past its Series A has typically aged out of the largest tier, which argues for applying earlier than a team might otherwise think necessary. Credits are usually accompanied by technical support, training resources and access to Google Cloud's startup technical team.
Because terms, tier names and credit amounts are revised periodically and are not always published consistently across Google's pages, applicants should confirm the current offer directly with Google Cloud rather than relying on third-party summaries.
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Or search similar grants →According to the current listing, eligibility includes: Eligibility is based on company stage rather than on technical assessment. The commonly published criteria for the AI-first track require that the company was founded within the last five years, that it is at pre-seed or seed stage within five years of founding or has raised a Series A within the preceding twelve months, and that it has an AI-first product rather than a conventional software product with an AI feature. Companies that have raised beyond Series A, or that are more than twelve months past a Series A, generally fall outside the top tier, though lower tiers including the Scale tier at up to 200,000 dollars and the entry Start tier remain available. Applicants must have a Google Cloud billing account and agree to the programme terms, and credits are redeemable only against Google Cloud consumption with a defined expiry, commonly one to two years from issuance. Applications are made through the Google Cloud startups website on a rolling basis with no fixed deadline. Startups affiliated with an accelerator, incubator or venture capital partner in Google's partner network may access higher tiers or an expedited route, so checking whether an existing investor is a Google partner before applying directly is worthwhile. Because Google revises tier structures, credit ceilings and eligibility windows periodically and these details are described inconsistently across its public pages and third-party summaries, prospective applicants should verify the current terms directly at cloud.google.com/startup before planning around a specific credit figure. Confirm the full requirements in the official notice before applying.
The current listing shows the AI-first track provides up to 350,000 US dollars in Google Cloud credits, typically structured across two years, while the general Scale tier provides up to 200,000 dollars and an entry Start tier provides a small credit grant on the order of 2,000 dollars; amount_min is recorded as 200,000 and amount_max as 350,000 to reflect the realistic range for a funded AI company. The credits are non-dilutive in the strict sense that Google takes no equity, but they are not equivalent to cash and the differences matter for a startup planning its runway. Credits are redeemable only against Google Cloud consumption, they expire, commonly within one to two years of issuance, and an AI company that burns 350,000 dollars of credit over two years has by then built its training and serving stack on Google Cloud, which is the commercial logic of the programme. That lock-in is a real cost rather than a hidden one, and the right way to evaluate the offer is to ask whether the company would choose Google Cloud at list price once credits expire; if the answer is no, the credit has purchased a migration liability alongside the compute. The AI-first track exists because training and inference consume credits far faster than conventional SaaS workloads, and the elevated ceiling reflects that a 200,000 dollar general allocation can be exhausted by a single significant training run. Credits typically arrive alongside technical support and architectural guidance, which for a small team is a material part of the value. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Google for Startups Cloud Program AI-First Track: Up to $350,000 in Google Cloud and AI Compute Credits are due December 31, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Google for Startups Cloud Program AI-First Track: Up to $350,000 in Google Cloud and AI Compute Credits is funded by Google Cloud (Google for Startups). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The Sony Research Award Program is Sony's principal channel for funding external academic research, and the Focused Research Award is its collaborative track: up to 150,000 dollars for focused joint research between a university or research institute and Sony. The 2026 research areas are unusually broad for a corporate program and cover most of the modern AI stack alongside Sony's hardware interests - AI and large language models, computer vision, machine learning, robotics, human-computer interaction, affective computing, speech and language technologies, audio technologies, RF sensing, wireless communications, cybersecurity, sports technology, digital humans, generative AI, content creation and neural rendering, plus device-level areas including MicroLED and optical metasurfaces. For AI and robotics groups this makes it one of the wider corporate calls available, though the breadth is deceptive: Sony funds work that connects to its own research agenda, and proposals are strongest when there is an identifiable Sony research counterpart for the collaboration. Eligibility is tightly drawn around the principal investigator rather than the institution. The PI must be a full-time faculty member or researcher at a recognized institution - Assistant Professor, Associate Professor, Professor or equivalent researcher - and must be able to supervise PhD students. Co-PIs are permitted but must be from the same institution and meet the same requirements, which rules out the cross-institutional consortia common in public funding. The 2026 deadline is 15 September 2026 at 11:59pm Pacific, with a separate India-specific time given as 16 September 2026. Submission guidelines are on the Sony Research Award Program site.
The Meta Research PhD Fellowship supports doctoral students conducting research in areas central to Meta's technical agenda, with several of its annual award tracks dedicated to artificial intelligence and machine learning. Current AI-relevant tracks include AI System Hardware/Software Co-Design (high-performance AI algorithms spanning model compression, numerical optimization, benchmarking, and distributed inference and training), Applied Statistics (bias and variance estimation and correction in models and datasets, uncertainty quantification), AR/VR Human Understanding (efficient ML techniques that run on AR/VR devices), and Programming Languages (program synthesis, probabilistic and differentiable programming). Recipients receive two years of paid tuition and fees, a $42,000 annual stipend covering living expenses and conference travel, and a paid visit to Meta headquarters for the annual Fellowship Summit; the award carries no intellectual property claim on the student's research. The 2027 cycle opened August 3, 2026 with applications closing September 20, 2026, reference letters due in October 2026, and winners notified in January 2027.
OpenAI's AI and Teen Development Research Grant Program makes up to 5,000,000 US dollars available in grants of up to 1,000,000 dollars for independent research on how AI affects adolescent development and wellbeing. Applications opened 8 September 2026 at 8:00 AM PDT and close 6 October 2026 at 11:59 PM PST, with notifications by 13 November 2026, and submission is through the SurveyMonkey Apply platform. The published scope has four strands: teen usage patterns and developmental outcomes; AI's potential effects on young people's lives; the factors that cause those effects to differ across populations and contexts; and design interventions and safety mechanisms. The inclusion of the fourth strand is what separates this from a pure effects-measurement programme, since it invites work that proposes and tests product-level safeguards rather than only documenting harm or benefit. The third strand is equally notable: OpenAI is asking specifically about heterogeneity of effect, which is an implicit acknowledgement that aggregate findings about teen AI use have limited policy value. Review is rolling and conducted by internal researchers and outside experts. Non-profit applicants are preferred and for-profit organisations are explicitly not prioritised, and indirect costs are capped at 10 percent of the grant, both of which shape who can realistically compete.
NSF just committed $380 million to build a national network of AI-programmable, remotely operated laboratories — the Programmable Cloud Laboratories Test Bed (NSF 25-541), the agency's flagship contribution to the Genesis Mission. Twenty nodes, four years, self-driving experiments in chemistry, biology and materials. Here is what it funds, who is eligible, why the 'existing facilities only' rule matters, and how researchers and companies should position for what comes next.
Read articleAs a generation of electricians, welders, and machinists retires with too few replacements, funders have poured more than a half-billion dollars into skilled-trades training — Lowe's $250M, BlackRock $100M, Google $50M, and more. It is one of the clearest philanthropic theses in 2026. Here is the funder landscape, why 'AI-proof' framing is driving it, and how a workforce nonprofit should position to win these grants.
Read articleThe California Civic Media Program is a $20 million public-private fund — $10 million from the state, $10 million matched by Google — that pays local newsrooms on a per-journalist formula: $20,000 for each of the first five FTE reporters, $10,000 for reporters six through twenty, capped at $250,000 per organization. Applications open July 6 and close August 21, 2026. Here is exactly how the formula works, which newsrooms qualify (and which are excluded), and how to position a small newsroom to win.
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